I have two models ,primary GIE for detection and secondary GIE for identification.
I need to affine transform the result (irregular quadrilateral) detected by the primary GIE, and then crop it as the input of the secondary GIE. Can it be done?
You can refer the link below, but the demo uses regular quadrilateral to send to sgie. You can have a try. If there is any questions, you can add comment here. https://github.com/NVIDIA-AI-IOT/deepstream_lpr_app
My dynamic model batchsize is 1, but the size of width and height is not fixed, ranging from 64 to 1024. The size of each cropped image is different.In tensorrt, I can use context->setBindingDimensions(inputindex, dims4(1,C,H,W)) to set the dims for each run.
There is no update from you for a period, assuming this is not an issue anymore.
Hence we are closing this topic. If need further support, please open a new one.
Thanks